Journal of Engineering Research
Journal of Engineering Research. 2025; 4: (8) ; 10.12208/j.jer.20250391 .
总浏览量: 117
1 中水北方勘测设计研究有限责任公司 天津
2 太极计算机股份有限公司水利水务事业部 北京
*通讯作者： 于雨,单位： 中水北方勘测设计研究有限责任公司 天津；
水箱模型作为水文模拟中重要的水文模型，但由于参数较多，采用人工试错法难以避免其中的不确定性与低效性。本文以SCEUA算法为基础，研究水箱模型参数的快速率定与应用。同时选取汉江上游安康到白河区间1999年至2013年间的20场洪水作为参数率定与验证样本，以确定性系数为优化目标，分析优化结果并对优化参数进行检验。经检验分析，模型率定期和验证期平均确定性系数均达到了0.8以上。研究结果表明，采用SCEUA算法能有效提升集总式水箱模型参数确定的效率，同时能有效保证模型参数的准确性。
The tank model is a significant hydrological model in hydrological simulation; however, due to its numerous parameters, the manual trial-and-error method struggles to avoid uncertainty and inefficiency. This paper investigates the rapid calibration and application of tank model parameters based on the SCE-UA algorithm. Additionally, 20 flood events from 1999 to 2013 in the upstream Han River region between Ankang and Baihe were selected as samples for parameter calibration and validation. Using the deterministic coefficient as the optimization objective, the optimization results were analyzed, and the optimized parameters were tested. The validation analysis shows that the average deterministic coefficient during both the calibration and validation periods exceeded 0.8. The research results indicate that the SCE-UA algorithm can effectively improve the efficiency of parameter determination for the lumped tank model while ensuring the accuracy of the model parameters.
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